Director, Engineering – Agentic Product

Responsibilities

• Lead the engineering execution of Adobe's Agentic Product — collaborating to define what the agent does, driving the quality of its outputs, and ensuring it ships on a predictable cadence across surfaces.
• Grow and lead the engineering team building Agentic Product capabilities, driving technical strategy, team health, and execution velocity.
• Partner closely with the Agentic Product Management leads to define technical scope, sequence delivery, and translate product strategy into executable engineering plans.
• Lead the design and delivery of agent capabilities spanning in‑app creative workflows, multi‑step task execution, and context‑aware assistance across Adobe's surfaces.
• Establish and maintain the quality bar for agent behavior — what good looks like, how it's measured, and how the team systematically improves it over time.
• Partner across Adobe's platform and infrastructure teams to ensure the Agentic Product is built with appropriate evals, guardrails, data protection, and the reliability expected of a product at Adobe's scale.
• Build and maintain fluency across the emerging agentic standards and model capabilities ecosystem and ensure Adobe's Agentic Product engineering practices evolve with the space.

• A track record of leading and scaling high‑performing engineering teams to ship complex, high‑quality user‑facing AI products at scale.
• Deep experience with AI/ML product engineering, including working knowledge of LLM APIs, agent frameworks, and the capabilities and limitations of current generative models in creative contexts.
• Hands‑on technical expertise: you can engage deeply in architecture decisions, review designs with a substantive point of view, and recognise good and brittle agent behavior at the implementation level — not just the product level.
• You remain close to the code and the craft.
• Strong product sensibility — you have intuitions about user experience, you can look at agent behavior and know when it's good or brittle, and you partner with PM and design as a peer, not a downstream executor.
• Strong cross‑functional leadership instincts with a history of effective partnership with Product, Design, and platform engineering teams.
• Comfort operating in fast‑moving, ambiguous environments where the technology, the competitive dynamics, and the user expectations are all rapidly evolving.
• Experience with the quality, reliability, and trust requirements that come with shipping AI features to a large consumer and enterprise audience.
• Demonstrated ability to lead change management and drive continuous innovation in engineering processes and practices — helping teams adopt new ways of working, internalise new tooling, and stay ahead of a rapidly shifting technical landscape without losing execution focus.
• Experience working with LLM providers or contributing to AI product strategy is strongly preferred.